methods@manchester summer school 2019 - Generalized Linear Models

Description:

Generalized Linear Models: a comprehensive system of analysis and graphics using R and the Rcommander.

Overview

This is a general course in data analysis using generalized linear models.  It is designed to provide a relatively complete course in data analysis for post-graduate students.  Analyses for many different types data are included; OLS, logistic, Poisson, proportional-odds and multinomial logit models, enabling a wide range of data to be modelled.  Graphical displays are extensively used, making the task of interpretation much simpler.

A general approach is used which deals with data (coding and manipulation), the formulation of research hypotheses, the analysis process and the interpretation of results.  Participants will also learn about the use of contrast coding for categorical variables, interpreting and visualising interactions, regression diagnostics and data transformation and issues related to multicollinearity and variable selection.

The software package R is used in conjunction with the R-commander and the R-studio.  These packages provide a simple yet powerful system for data analysis.  No previous experience of using R is required for this course, nor is any previous experience of coding or using other statistical packages.

This course provides a number of practical sessions where participants are encouraged to analyse a variety of data and produce their own analyses.  Analyses may be conducted on the networked computers provided, or participants may use their own computers; the initial sessions cover setting up the software on lap-tops (all operating systems are allowed).

Course objectives

The main objective of this course is to provide a general method for modelling a wide range of data using regression-based techniques.  Participant will be able to select, run and interpret models for continuous, ordered and unordered data using modern graphical techniques.

Prerequisites
There are no pre-requisites for this course as instruction is provided for all techniques.  However, it will be of most use to those who are interested in modelling social science datasets (survey and quasi-experimental) and applying graphics to interpret these.

Cost:

Students - £600
University of Manchester Staff - £600
Other attendees - £900

Website and registration:

https://www.methods.manchester.ac.uk/connect/events/summer-school-2019/

Region:

North West

Keywords:

Generalized liner model (GLM), Quantitative Approaches (other), Quantitative Software, R

Related publications and presentations:

Generalized liner model (GLM)
Quantitative Approaches (other)
Quantitative Software
R

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